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The Study on Denoising Based on Multiwavelet and Adaptive Threshold
Author(s): Qiu Aizhong, Qiu Dawei, Hao Huahui
Pages: 1903-
1906
Year: 2013
Issue:
11
Journal: Henan Sciences
Keyword: multiwavelets; signal denoising; wavelet threshold; adaptive threshold; extracting signal features;
Abstract: In order to extract week singnals from strong noise,a new method of denoising based on multiwavelet and adaptive threshold is proposed. Firstly,the multiwavelets are introduced to overcome the shortcoming of the single wavelet,and match different characteristics of signals. Moreover,an improved method composed of adaptive threshold is presented. The comparison experiments were done with the method of multiwavelets soft threshold, D4 wavelet adaptive threshold. The results indicate that this method can not only improve the signal-to-noise ratio of the rebuilt signal,but also extract the feature submerged in a heavy noise.
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